Book Image

Mastering Azure Serverless Computing

By : Lorenzo Barbieri, Massimo Bonanni
Book Image

Mastering Azure Serverless Computing

By: Lorenzo Barbieri, Massimo Bonanni

Overview of this book

Application development has evolved from traditional monolithic app development to using serverless options and microservices. This book is designed to guide you through using Microsoft's Azure Functions to process data, integrate systems, and build simple APIs and microservices. You will discover how to apply serverless computing to speed up deployment and reduce downtime. You'll also explore Azure Functions, including its core functionalities and essential tools, along with understanding how to debug and even customize Azure Functions. In addition to this, the book will take you through how you can effectively implement DevOps and automation in your working environment. Toward the concluding chapters, you'll cover some quick tips, troubleshooting techniques, and real-world serverless use cases that will help you make the most of serverless computing. By the end of this book, you will have gained the skills you need to develop and deliver cost-effective Azure serverless solutions.

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Table of Contents (19 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Section 1: Azure Functions 2.0 Fundamentals
Section 1: Azure Functions 2.0 Fundamentals
2
Developing and Running Azure Functions
Developing and Running Azure Functions
Technical requirements
Introduction to Azure Functions
Azure Functions Core Tools
Developing Azure Functions with Visual Studio
The OpenAPI Specification in Azure Functions
Exposing your Azure Functions on the internet with ngrok
Debugging an Azure Function
Summary
Questions
Further reading
3
Customizing Your Azure Functions
Customizing Your Azure Functions
Technical requirements
Discovering Azure Functions extensions
Creating a custom trigger
Creating a custom binding
Summary
Questions
Further reading
4
Programming Languages Supported in Azure Functions
Programming Languages Supported in Azure Functions
Technical requirements
Azure Functions and JavaScript
Azure Functions and Java
Azure Functions and Python
Azure Functions and PowerShell
Language extensibility
Summary
Questions
Further reading
5
Section 2: Azure Functions 2.0 Deployment and Automation
Section 2: Azure Functions 2.0 Deployment and Automation
6
Deploying and Configuring Your Azure Functions
Deploying and Configuring Your Azure Functions
Technical requirements
Creating the Azure function app
Deploying the Azure function app
Using the deployment slots
Kudu – the Azure Function deployment service
Configuring your Azure Functions
Reading the app settings in your Azure Function
Summary
Questions
Further reading
7
Leverage the Power of DevOps with Azure Functions
Leverage the Power of DevOps with Azure Functions
Technical requirements
Understanding Azure DevOps
Azure Pipelines and Azure Functions
Creating your first build pipeline
Creating the release pipeline
CI/CD at a glance
Summary
Questions
Further reading
8
Testing and Monitoring
Testing and Monitoring
Technical requirements
Testing your Azure Functions
Dependency injection in Azure Functions
Monitoring Azure Functions
Summary
Questions
Further reading
9
Serverless and Containers
Serverless and Containers
Technical requirements
Linux-based Azure Functions
Hosting Azure Functions containers in Kubernetes with KEDA
Azure Container Instances
Summary
Questions
Further reading
10
Section 3: Serverless Orchestration, API Management, and Event Processing
Section 3: Serverless Orchestration, API Management, and Event Processing
11
Orchestration as Code - Durable Functions
Orchestration as Code - Durable Functions
Technical requirements
What are Durable Functions?
Function types
The Durable Functions execution state
Managing Durable Functions versioning
Order manager sample
Summary
Questions
Further reading
12
Orchestration as Design - Logic Apps
Orchestration as Design - Logic Apps
Technical requirements
Understanding Logic Apps
Logic App service components
Versioning, monitoring, and API connections
Advantages of using Logic Apps
Summary
Questions
Further reading
13
Empowering Your Serverless API with API Management
Empowering Your Serverless API with API Management
Technical requirements
Understanding Azure API Management
Creating an API Management instance
Exposing a new API
Creating a new policy
Defining a new product
The API Management REST API
Advantages of API Management
Summary
Questions
Further reading
14
High-Scale Serverless Event Processing with Event Grid
High-Scale Serverless Event Processing with Event Grid
Technical requirements
Understanding Event Grid
Creating an Event Grid subscription
Understanding event delivery and retries
Summary
Questions
Further reading
15
Section 4: Real-World Serverless Use Cases
Section 4: Real-World Serverless Use Cases
16
Best Practices and Use Cases for Azure Serverless Computing
Best Practices and Use Cases for Azure Serverless Computing
Azure serverless best practices
Some Azure serverless use cases
Summary
Questions
Further reading
17
Assessments
Assessments
Chapter 1, Developing and Running Azure Functions
Chapter 2, Customizing Your Azure Functions
Chapter 3, Programming Languages Supported in Azure Functions
Chapter 4, Deploying and Configuring Your Azure Functions
Chapter 5, Leverage the Power of DevOps with Azure Functions
Chapter 6, Testing and Monitoring
Chapter 7, Serverless and Containers
Chapter 8, Orchestration as Code – Durable Functions
Chapter 9, Orchestration as Design – Logic App
Chapter 10, Empower Your Serverless API with API Management
Chapter 11, High Scale Serverless Event Processing with Event Grid
Chapter 12, Best Practices and Use Cases for Azure Serverless Computing
18
Another Book You May Enjoy
Another Book You May Enjoy
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Technical requirements

This chapter requires basic knowledge of the following technologies:

  • Containers and Docker
  • Orchestrators and Kubernetes

To try the examples in this chapter, you should have Docker installed on your machine and have access to a container registry (such as Azure Container Registry (ACR) or Docker Hub). If you want to try Kubernetes-based Event-Driven Autoscaling (KEDA) and Kubernetes, you need to have a working Kubernetes cluster (Azure Kubernetes Service, either on premises or using other managed services).

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